Determinants of Poverty among Households in Bhutan

Authors

  • Chimmi Department of Mathematics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand Author
  • Suntaree Unhapipat Centre of Excellence in Mathematics, CHE, Bangkok, Thailand Author

DOI:

https://doi.org/10.61841/2022dj47

Keywords:

Odds ratio, Logit model, Logistic function, Binary regression.

Abstract

This study investigates the demographic factors that affect the poverty status of households in Bhutan. A sample of 11,654 households from Bhutan Living Standard Survey conducted by the National Statistical Bureau in 2017 was used for the analysis. A logistic regression was performed with the poverty status (poor and non-poor) as an outcome variable and a set of demographic factors as the predictor variables. Further, the predictor variable were tested using Chi-square test at 0.05 level of significance. The poverty status of each household was determined by comparing Person’s consumption expenditure with a standard poverty line of Nu 2,195.95 per person per month. The demographic factors showed significant influence on poverty status of the household, especially age and gender of household head, household size, qualification and employment status of household head, marital status and residence of household.

 

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References

[1] T. N. Achia, A. Wangombe, & N. Khadioli. A Logistic Regression Model to Identify Key Determinants of Poverty Using demographic and Health Survey Data. European Journal of Social Science, 13(2010), No.1, 38-46.

[2] T.Y. Mok, C. Gan, & A. Sanyal. The Determinants of Urban Household Poverty in Malaysia. Journal of Social Science, 3(2007), No.4, 190-196.

[3] R.Puurbalanta, & A.O.Adebanji. Household Poverty-Risk Analysis and Prediction using Bayesian Ordinal Probit Models. International Journal of Statistic and Application, 6(2016), no.6, 399-407.

[4] B.Emese, O.Csilla & U.Hakan. Determinants of deprivation in Turkey, A Logistic regression analyses. Studia Mundi-Economia, 6(2019), No.2, 102-112

[5] Adeyeni A.Ogundipe, Adebayo O, Kehinde O & Abiola J.A. Poverty and income inequality in rural Agrarian Household of Southwestern Nigeria: The Gender perspective. The open Agriculture Journal. 13(2019), 51- 57

[6] Raul Duarte. Socioeconomic Determinants of Poverty in Paraguay. Washington University,St. Louis, 2013.

[7] Iddi H. Makame & Said S. Mzee. Determinants of poverty on household characteristic in Zanzibar: A logistic regression model. Developing country studies, 4(2014), No.20, 189-195

[8] National Statistics Bureau. Bhutan Poverty Analysis Report 2017. Thimphu, Bhutan: Royal Government of Bhutan, 2017.

[9] Myftaraji, E., Zyka, E., & Bici, R. Identifying Household Level Determinants of Poverty in Albania using Logistic Regression Model. Journal of Sustainable Development, 7(2014), No.3, 35-42

[10] Anyanwu,J.C. Marital Status, Household Size and Poverty in Nigeria: Evidence from the 2009/2010 Survey Data. African Development Review, 26 (2014), No. 1, 118–137

[11] Twerefou D.K, Senadza,B and Owusu-Afriyie,J. Determinants of poverty among male-headed and female- headed households in Ghana. Ghanaian Journal of Economics, 2 (2014), 77-95.

[12] Appleton, S. Women-Headed Households and Household Welfare: An Empirical Deconstruction for Uganda. World Development. 24 (1996), No.12, 181 l-1827.

[13] Dreze, J. & Srinivasan, P. V. Widowhood and Poverty in Rural India: Some Inferences from Household Survey Data. Journal of Development Economics 54(1997), No.2, 217-234.

[14] Rahmatina A. Kasri. Determinants of Poverty amongst Zakah Recipients in Indonesia: A Household Lever Analysis. International journals of Islamic economics and finance studies, 3(2017), No.3, 30-40.

[15] Singh, K .M, Meena, M .S, Singh, R. K. P & Kumar, A.Socio-Economic Determinants of Rural Poverty: An Empirical Exploration of Jharkhand State, India. Paper for oral presentation in 7th Asian Society of Agricultural Economists. SSRN Electronic Journal, 2013, 1-13.

[16] Spaho, A. Determinants of Poverty in Albania. Journal of Educational and Social Research, 4(2014), No.2, 157-163

[17] Anthony, Peter. N. Mwita, Romanus O. Odhiambo, Verdiana. G. Masanja. Multidimensional Analysis of the Determinants of Poverty Indicators in the Lake Victoria Basin (Krnya).Journal of Mathematics (IOSR-JM), 11(2015), No.3, 73-87

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Published

30.06.2020

How to Cite

Chimmi, & Unhapipat, S. (2020). Determinants of Poverty among Households in Bhutan. International Journal of Psychosocial Rehabilitation, 24(6), 14744-17452. https://doi.org/10.61841/2022dj47